Optimal allocation of regional water resources based on simulated annealing particle swarm optimization algorithm

Optimal allocation of regional water resources based on simulated annealing particle swarm optimization algorithm

Given the fast growth of economy in Ningxia, China, contradictions between the increase of water resources and the decrease of water supply become increasingly prominent. Therefore, it is critical to utilize limited water resources in a rational manner. This study uses the multi-objective programmin...

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Bibliographic Details
Main Authors: Zhanping Wang, Juncang Tian, Kepeng Feng
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Water resources
Optimal allocation
Simulated annealing
Particle swarm algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722012951

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